Genesis AI in San Francisco is seeking a senior ML infrastructure engineer to design and optimize distributed training systems and performance-critical components. You will profile bottlenecks, implement low‑level code (CUDA, Triton) and ensure efficient hardware utilization across multi‑node GPU clusters.
Join a team focused on scalable AI foundations, monitoring tools, and robust performance improvements for large‑scale runs.
#J-18808-LjbffrSenior ML Training Systems Engineer - Distributed CUDA in san francisco at Unknown Company
This position is listed as full time and onsite.